Text Classification
Transformers
TensorFlow
distilbert
generated_from_keras_callback
text-embeddings-inference
Instructions to use devBode/distilbert-pt-cased-redacao-nota with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use devBode/distilbert-pt-cased-redacao-nota with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="devBode/distilbert-pt-cased-redacao-nota")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("devBode/distilbert-pt-cased-redacao-nota") model = AutoModelForSequenceClassification.from_pretrained("devBode/distilbert-pt-cased-redacao-nota", device_map="auto") - Notebooks
- Google Colab
- Kaggle
distilbert-pt-cased-redacao-nota
This model is a fine-tuned version of Geotrend/distilbert-base-pt-cased on an unknown dataset. It achieves the following results on the evaluation set:
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- optimizer: {'name': 'Adam', 'weight_decay': None, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': True, 'is_legacy_optimizer': False, 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 456, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False}
- training_precision: float32
Training results
Framework versions
- Transformers 4.57.0
- TensorFlow 2.19.0
- Datasets 4.0.0
- Tokenizers 0.22.1
- Downloads last month
- 22
Model tree for devBode/distilbert-pt-cased-redacao-nota
Base model
Geotrend/distilbert-base-pt-cased